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Posted to commits@systemds.apache.org by ja...@apache.org on 2022/06/26 03:38:26 UTC

[systemds] branch main updated: [DOC] Update python api project description and version (#1646)

This is an automated email from the ASF dual-hosted git repository.

janardhan pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/systemds.git


The following commit(s) were added to refs/heads/main by this push:
     new f59b906469 [DOC] Update python api project description and version (#1646)
f59b906469 is described below

commit f59b906469f8e9fa54870223bb4efdf91c29fdf2
Author: Janardhan Pulivarthi <j1...@protonmail.com>
AuthorDate: Sun Jun 26 09:08:22 2022 +0530

    [DOC] Update python api project description and version (#1646)
---
 src/main/python/setup.py                 | 6 +++---
 src/main/python/systemds/project_info.py | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/main/python/setup.py b/src/main/python/setup.py
index a74de6813b..2fab35f58f 100755
--- a/src/main/python/setup.py
+++ b/src/main/python/setup.py
@@ -42,9 +42,9 @@ REQUIRED_PACKAGES = [
     'pandas >= 1.2.2' 
 ]
 
-LONG_DESCRIPTION= '''"""This package provides a Pythonic interface for working with SystemDS.
+LONG_DESCRIPTION= '''This package provides a Pythonic interface for working with Apache SystemDS.
 
-SystemDS is a versatile system for the end-to-end data science lifecycle from data integration,
+Apache SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration,
 cleaning, and feature engineering, over efficient, local and distributed ML model training,
 to deployment and serving.
 To facilitate this, bindings from different languages and different system abstractions provide help for:
@@ -56,7 +56,7 @@ These high-level scripts are compiled into hybrid execution plans of local, in-m
 as well as distributed operations on Apache Spark. In contrast to existing systems - that either
 provide homogeneous tensors or 2D Datasets - and in order to serve the entire
 data science lifecycle, the underlying data model are DataTensors, i.e.,
-tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema."""'''
+tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema.'''
 
 setup(
     name=ARTIFACT_NAME,
diff --git a/src/main/python/systemds/project_info.py b/src/main/python/systemds/project_info.py
index faf8b6eff6..d98cd0e852 100644
--- a/src/main/python/systemds/project_info.py
+++ b/src/main/python/systemds/project_info.py
@@ -23,4 +23,4 @@
 # via string substitutions using the maven-resources-plugin
 __project_group_id__ = 'org.apache.systemds'
 __project_artifact_id__ = 'systemds'
-__project_version__ = '2.3.0-dev'
+__project_version__ = '3.1.0-dev'